plot.uplift

Plot method for the uplift function

The Radiant Model menu includes interfaces for linear and logistic
regression, naive Bayes, neural networks, classification and regression trees,
model evaluation, collaborative filtering, decision analysis, and simulation.
The application extends the functionality in 'radiant.data'.

Vincent Nijs

radiant.model

Model Menu for Radiant: Business Analytics using R and Shiny

plot.uplift function

<dl><dt>x</dt>
<dd>Return value from <code>evalbin</code></dd>
<dt>plots</dt>
<dd>Plots to return</dd>
<dt>size</dt>
<dd>Font size used</dd>
<dt>shiny</dt>
<dd>Did the function call originate inside a shiny app</dd>
<dt>custom</dt>
<dd>Logical (TRUE, FALSE) to indicate if ggplot object (or list of ggplot objects) should be returned. This option can be used to customize plots (e.g., add a title, change x and y labels, etc.). See examples and <a href="https://ggplot2.tidyverse.org">https://ggplot2.tidyverse.org</a> for options.</dd>
<dt>...</dt>
<dd>further arguments passed to or from other methods</dd></dl>

Arguments

Plot method for the uplift function — plot.uplift

<dl>

<dt>x</dt>
<dd>Return value from <code>evalbin</code></dd>


<dt>plots</dt>
<dd>Plots to return</dd>


<dt>size</dt>
<dd>Font size used</dd>


<dt>shiny</dt>
<dd>Did the function call originate inside a shiny app</dd>


<dt>custom</dt>
<dd>Logical (TRUE, FALSE) to indicate if ggplot object (or list of ggplot objects) should be returned. This option can be used to customize plots (e.g., add a title, change x and y labels, etc.). See examples and <a href='https://ggplot2.tidyverse.org'>https://ggplot2.tidyverse.org</a> for options.</dd>


<dt>...</dt>
<dd>further arguments passed to or from other methods</dd>

</dl>

plot.uplift: Plot method for the uplift function

Description

Usage

Arguments

Details

See Also

Examples